pentestiverse.com

What It Is

Pentestiverse is a security penetration testing and AI security audit service for LLM applications, not a traditional vulnerability scanner or general-purpose MSSP. Its core premise is that AI customer support, RAG knowledge bases, Agents, and plugin integrations introduce new attack surfaces that conventional DAST and cloud security tools struggle to cover, so dedicated LLM red-team testing is needed. The service uses a hybrid model of “automated scanning + human offensive-security expertise,” targeting growth-stage companies and product teams that lack a dedicated AI security team.

Core Capabilities and Coverage

Its coverage is fairly comprehensive, explicitly listing Prompt Injection, system prompt leakage, jailbreaks and guardrail bypasses, PII/sensitive data exposure, RAG poisoning, vector and Embedding weaknesses, Agent/plugin hijacking, function-calling abuse, training data poisoning, supply-chain dependency risks, output-handling risks, and more. Reports are mapped to the OWASP LLM Top 10 and LLMSVS V1–V8, and include attack paths, PoC payloads, CVSS severity scores, and step-by-step remediation guidance. The delivery workflow includes attack-surface mapping, active red teaming, a technical report, a Debrief, and retesting of critical issues, making it relatively practical for engineering teams to implement fixes.

Deployment, Management, and Integration

The service supports three testing depths: black-box, gray-box, and white-box. Black-box testing only requires a model endpoint; gray-box adds API documentation; white-box requires model-level access. It can test application-layer integrations built on third-party LLMs such as GPT, Claude, and Gemini, with emphasis on system prompts, RAG pipelines, tool invocation, Agent permissions, data boundaries, and API exposure. On the management side, it primarily relies on reports, weekly syncs, Debrief sessions, and retesting. Although it evaluates logging, alerting, and anomaly-detection controls, the website does not indicate that it provides a standalone real-time monitoring or alerting platform.

Pricing and Value for Money

Pricing starts at USD 3,500 per month, with another page stating USD 3,500–7,000/month, on a fixed-fee annual Retainer basis. A monthly delivery cycle takes 20–30 days. Pricing depends on the number of models, integration complexity, and Agent scope. The website contains two different descriptions of payment terms: one says 50% upfront and 50% upon report delivery, while another says 50% of the annual total is due at contract signing; this should be confirmed in the contract. Overall, it is suitable for teams with commercial AI products already in market, but may be expensive for early-stage small teams.

Pros, Cons, and Best Fit

Its strengths are its vertical focus, attack surface coverage that matches real-world LLM applications, and standardized, reproducible reporting, making it suitable for pre-launch validation and ongoing iterative testing. The drawbacks are that public information does not disclose the company’s location, compliance certifications, team size, or verifiable credentials; the annual commitment reduces purchasing flexibility; and there is no explanation of support for China-region networking, payments, or local compliance. It is better suited to teams that are sensitive to data leakage and brand risk, such as fintech companies, AI SaaS vendors, internal enterprise RAG assistants, and automated Agent platforms.

China Access and Alternatives

The crawled text does not provide information on access from mainland China, payment methods, or local contract support, so China access can only be rated as unknown. If the use case involves onshore data, MLPS, cross-border transfer of personal information, or local procurement processes, it is advisable to first confirm data-access boundaries, NDA terms, report language, payment channels, and whether remote black-box testing is supported. Alternatives may include traditional penetration-testing vendors with AI red-team capabilities, cloud providers’ AI security assessment services, or LLM security testing services from domestic cybersecurity vendors.